Binary Classification in R and application to classify patients with diabetes

An implementation of logistic regression in Python applied to Steam videogames reviews.

Udacity - Predictive Analysis for Business Projects

This repository contains implementation and evaluation scripts for various pre-trained deep learning models applied to binary classification of cats and dogs using transfer learning on a balanced dataset. Explore different architectures such as VGG16, VGG19, ResNet50, InceptionV3, DenseNet121, and MobileNetV2 fine-tuned for accurate classification.

Complete data analysis project for the Statistical learning course. Data from a store dataset coming from Kaggle is used.

predicting articles popularity using a combination of text mining and classification.

Classifying whether the tumor is 'Benign' or 'Malignant' .

A machine learning program in Java that makes binary classifications of images. The ML algorithm used is a variant of the Support Vector Machine algo, a simplified version that was designed to be more palatable for novice programming students. This program is being revised to be a multi-class machine learning program.

In this exercise, the objective is to build a classifier only with the training data, with the goal of achieving the best performance possible on the validation data.

A self-challenged speedrun to best solve a customer loyalty binary classification problem with and without ML libraries

Get to know if you are Diabetic or NOT.

A binary classification model, inspired by the "Titanic" Kaggle Challenge. Predicts whether or not a given passenger will survive, based on personal characteristics such as age, gender, and how much money their ticket cost.

Binary Classification using Machine Learning

A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.

Predicting Nobel Physics Prize winners. Final project for Harvard CS109a 2017 edition https://github.com/covuworie/a-2017.

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.